Lightrun Secures $70M to Revolutionize AI Debugging and Code Observability
How do you debug AI-generated code in real time without bringing production to a halt? That’s the question thousands of developers and IT teams are asking—and Israeli startup Lightrun just raised $70 million in Series B funding to answer it. With the rise of AI-assisted coding tools, more code is being written than ever before, but that also means more bugs, crashes, and runtime headaches. Lightrun’s AI-powered observability platform solves this challenge by helping developers debug code in production environments without stopping the app, a feature critical for enterprise DevOps teams looking to reduce downtime costs, enhance application performance monitoring (APM), and increase developer productivity.
The funding round, co-led by Accel and Insight Partners, with strategic investment from Citi, reflects a rapidly growing demand for solutions that can identify, analyze, and fix production code errors at scale. Other investors included Glilot Capital, GTM Capital, and Sorenson Capital, bringing Lightrun’s total raised to $110 million. This surge in capital is expected to accelerate the company’s efforts to lead the AI observability market and compete with established names like Datadog, AppDynamics, and New Relic.
What sets Lightrun apart? The company’s latest innovation—Runtime Autonomous AI Debugger—is designed for use directly inside Integrated Development Environments (IDEs). This means developers can now analyze code logic and interactions before deployment, reducing mean time to resolution (MTTR) and proactively preventing system crashes. With its ability to run AI-powered simulations that predict bugs and implement automatic fixes, Lightrun is helping organizations reduce tech debt, minimize cloud computing waste, and improve system reliability—all high-value outcomes for enterprise IT leaders.
The company’s client list is a testament to its effectiveness and traction in the market. Industry giants like Microsoft, Salesforce, SAP, AT&T, and ADP are using Lightrun to ensure code stability in dynamic production environments. Notably, Citi’s dual role as both investor and customer highlights the strategic value Lightrun brings to financial services IT infrastructures, where real-time monitoring and zero-downtime debugging are essential.
According to CEO Ilan Peleg, Lightrun’s success is about timing as much as innovation. With AI coding tools flooding software pipelines, developers are pushing out more features faster, but still relying on manual processes to fix bugs—a costly mismatch. Peleg, a former elite middle-distance runner, sees debugging as a race against failure. “Code is becoming cheap, but bugs are expensive,” he notes. That statement resonates with today’s cloud-native enterprises, where every second of system failure can cost thousands.
Unlike traditional observability platforms that react to issues after they appear, Lightrun integrates directly into the CI/CD pipeline, allowing teams to address potential failures as early as the development phase. This proactive model of preemptive debugging not only improves software release cycles, but also reduces customer churn caused by performance issues—ultimately boosting customer experience metrics and net promoter scores (NPS).
With its unique combination of real-time observability, predictive debugging, and AI-based runtime simulations, Lightrun is poised to reshape how enterprise tech teams handle code at scale. And as organizations increasingly invest in AI-driven DevOps tools, Lightrun’s platform offers a clear path to cost savings, system resilience, and DevOps workflow automation.
As the company scales, we can expect Lightrun to expand its platform capabilities—potentially moving into adjacent areas like cybersecurity threat detection, performance optimization, and compliance monitoring. Its deep integration with enterprise-grade environments and emphasis on low-latency debugging solutions position it as a frontrunner in the next evolution of AI in software engineering.
Whether you're managing a large enterprise or building a startup SaaS app, Lightrun’s real-time debugging framework could be the key to cutting cloud costs, increasing uptime, and future-proofing your code.
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